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Published by Agorapulse
Let’s be real - social media moves too fast for traditional execution to keep up anymore. Between shifting algorithms and the constant demand for high-velocity content, just grinding harder isn't a strategy. Welcome to The AI Social Playbook, a hands-on tactical lab built for modern social media pros and marketing leaders who are ready to build something bigger. We believe AI isn't just about clearing a few tedious tasks off your desk; it’s about giving you a brand-new creative and strategic superpower so you can execute at a level that used to be impossible. Each week, we break down the workflows of elite practitioners who are actively building new engines for brand success. Whether you want to coordinate multi-agent pipelines or build custom setups that scale your actual impact, this show delivers the exact, step-by-step blueprints you need to lead the space. Hosted by Mike Allton, a veteran social media professional and international speaker who has spent over a decade training teams to master the machine. Join us at agorapulse.com/blog/ai-social-playbook/ and see how creative builders are using AI to change the game and scale their success.
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Most social content gets built from random topics or from pillars that name subjects rather than objections, which earns engagement and no sales. Molly Mahoney maps the seven beliefs a buyer has to accept first, then turns one belief into a week of posts. The seven belief categories are why me, why this, why you, why now, why not, why stay, and why worse. Why stay is the category subscription products and memberships depend on, because the customer decides again every month. Molly typed 9/11 into the why-now prompt on purpose and got a holiday-overwhelm line she called tacky and disrespectful. A human still decides which dates carry weight. Her earlier version wrote a month of content at once and none of it got used, so this one caps the output at five posts from one belief. A finished batch exports as a CSV and merges with the Agorapulse bulk upload template, so a week queues without retyping. One client, a Toastmasters speaker who had only sold to friends and family, sold a $6,000 AI assessment and setup to a stranger after publishing against these beliefs. CHAPTERS 00:00 The snarky meme that made Mike wince 00:38 Why content pillars don't move buyers 03:52 Brand first, beliefs second, one week of content per belief 07:29 One click, four beliefs per category 09:37 The 9/11 belief AI didn't know to refuse 10:11 Why stay, the category memberships and SaaS live on 12:06 Inside the story bank: quotes, metaphors, memes 14:58 Why the tool refuses to write a month at once 15:39 The five-post batch, conversation starter to POV meme 19:18 CSV export straight into Agorapulse bulk upload 22:55 The $6,000 sale to a total stranger https://www.agorapulse.com/blog/ai-social-playbook/e5/ CONNECT WITH MOLLY MAHONEY Website: https://mollymahoney.com/ LinkedIn: https://www.linkedin.com/in/mollygolive Instagram: https://www.instagram.com/mollymahoneyofficial Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/
Most social teams brainstorm content ideas from memory or a generic AI prompt, then wonder why nothing sounds different from a competitor's post. Christopher Penn, Chief Data Scientist at TrustInsights.ai, pulls real audience questions straight out of Reddit and turns them into a ranked list of 100 video topics. In this episode: A model on par with Claude Sonnet 5 can run for about 1/40th the cost through a smart-and-cheap provider pick. Reddit's questions, not its answers, make the safest source material, with a human still filtering trolls and skipping competitor mentions. One Gemini Notebook prompt turns a raw Reddit export into 100 ranked questions. Recording on an iPhone in a kitchen can beat a polished studio setup on platforms downranking synthetic-looking video. Turning on YouTube's third-party training permission gets a creator's expertise cited by AI agents. Timestamps: 0:00 - The line that opens every failed AI pipeline 2:39 - Why Chris skipped Claude Code for OpenCode 5:05 - Mapping models by smart-and-cheap, not by brand 9:45 - Why a product requirements document comes before any code 13:31 - The one file that survives an AI's memory getting compressed 17:50 - Turning a Reddit export into a grounded notebook 20:51 - The exact prompt that produces 100 ranked questions 22:05 - Why a human still filters trolls and skips competitors 25:00 - Recording in a kitchen on purpose 29:07 - The YouTube setting that trains AI on your expertise 31:52 - The one trap that breaks every rushed AI pipeline Guest: Christopher Penn, Chief Data Scientist, TrustInsights.ai trustinsights.ai · christopherspenn.com · LinkedIn Full show notes and transcript: https://www.agorapulse.com/blog/podcasts/ai-social-playbook/e4
Claudia Sandino spent up to a month building one content calendar in Google Sheets, then sent her boss four separate folder links so he could approve a single post. In this session she rebuilds that calendar as an interactive hub in Claude Design, edits it by talking to it, and says plainly where the tool still falls short. What you'll take away Load your design system first: logo, fonts, colors, nothing more. Her calendar prompt, with dropdowns per platform and ownership tabs. Moving a week of posts to next month takes one sentence. No multi-person editing yet, so she hands off to Canva through MCP. Raw and unbranded, it invents data, so she reads every cell and checks the dates. She built a reels production tracker with the time she got back. Chapters 00:00 Why spreadsheets stall social approvals 02:36 Load the design system before you prompt 03:11 Why the perfect prompt matters less than experience 03:52 The calendar prompt she typed 06:46 Brief in Claude, or go straight to Design? 09:00 The second pass on a clunky first draft 09:53 A month of building against one conversation 11:00 Why 80% of a post happens off-platform 11:50 Sharing it with a boss 12:41 Moving a full week with one sentence 13:36 The approval chain that cost four clicks 14:56 The limitations and her review pass 16:25 An Agorapulse data dump as a visual report 17:31 The reels production tracker 19:23 Where to find Claudia Guest Claudia Sandino is the Founder of Chief of Influence and a Social Media Director who has spent 15 years scaling brands from startups to the Fortune 500. She works at the intersection of AI automation and brand frameworks, helping teams move faster on content without losing the strategy behind it. LinkedIn: linkedin.com/in/socialmediaclaudia Website: chiefofinfluence.com Instagram: @clauds.ai Full breakdown, the prompts, and the free Episode 3 Blueprint https://www.agorapulse.com/blog/ai-social-playbook/e3 The AI Social Playbook is brought to you by Agorapulse and archie.app. If this was useful, subscribe on YouTube or leave a review on Apple Podcasts.
Most AI video demos stop a scroll and then go nowhere. Jeff Sieh built a 40-second animated show open in one Saturday, and on this episode he walks through every tool in the chain that got him there. What you'll learn Why Jeff writes the song in Suno first and cuts the storyboard to the finished audio How he pulls the SRT file out of Descript so Claude can time the shots to the music Why he attaches character reference sheets to every prompt and starts a fresh chat each time What a start frame and an end frame do, and why you cannot render from an end frame alone What it costs: roughly $100 in Magnific credits for both animations in a single pass How arguing with Claude produced a custom After Effects rig instead of a working answer Chapters 00:00 Why this is not AI slop 00:37 What we are building today 02:23 Novelty AI video against a sponsor spot that pays for itself 04:19 Fifteen-minute guest theme songs in Suno 06:17 The pre-production gap that breaks brand consistency 07:11 The Makers Table claymation open 09:59 Why the song gets written before the shot list 11:45 Reusing one song for every guest with Suno's Cover feature 13:43 Character reference sheets, palettes and the fox sweater 14:57 Inside Claude's twelve-shot storyboard document 17:21 The Magnific render dashboard 18:07 What the rendering credits actually cost 20:08 Start frames and end frames explained 22:15 Letting Magnific pick the model 23:07 What this project would have required before AI 25:11 Twelve books into social content and Spanish audiobooks 26:19 Arguing Claude into building an After Effects rig 28:46 The frame mismatch that wastes your credits 29:38 Where to find Jeff About the guest Jeff Sieh is Head Beard at Social Media News Live and an international speaker and visual marketing consultant. He hosts the Social Media News Live show and podcast, and co-hosts The Makers Table with Katie Fawkes, the show whose animated open he deconstructs here. Website: socialmedianewslive.com LinkedIn: linkedin.com/in/jeffsieh He is @jeffsieh on every network. Watch the screen shares and grab the playbook Jeff walks through his Suno library, his ChatGPT character sheets, Claude's storyboard document and the Magnific dashboard on camera. The full episode page has the video, the complete transcript and The Automated Brand Animation Playbook as a download. https://www.agorapulse.com/blog/ai-social-playbook/e2 The AI Social Playbook is hosted by Mike Allton and brought to you by Agorapulse and archie.app.
Your listening tool counts mentions and stops there, so a month of comments arrives as a pile nobody has time to read. Brooke Sellas, CEO of B Squared Media, shares her screen and runs 1,902 of them through Claude to find the complaints that are actually costing the brand money. What you will take away A negative sentiment score cannot tell a pricing objection from a shipping delay or a rude support reply. Claude trimmed 1,902 incoming messages to 1,829 real conversations by stripping spam unprompted. The biggest theme, odor at 249 mentions, split 49% positive against 40% negative, so it is a coin flip. Ranking by one-sidedness lifted dust to second on 66 negative mentions, since 55% of dust mentions are negative. The discount double-check makes Claude show verbatim comments and row locations alongside its summary. The FAQ pass returned a ranked question list matched to formats, including a competitor comparison page. Chapters 00:00 Manual listening reports miss the real questions 00:51 Social listening by hand, one spreadsheet row at a time 02:21 Why a negative score hides four different problems 03:26 Conversation is home turf for a language model 05:07 Pulling one month of conversations out of your inbox 06:09 The context block that goes in before the instruction 07:45 What counts as a meaningful sample 09:08 1,902 messages in, 1,829 after the spam is gone 09:50 The biggest theme is a coin flip 11:05 Start with the objections, not the 82% praise 12:19 Ranking by one-sidedness instead of theme size 14:17 The discount double-check 15:29 Put the citation request in the first prompt 16:02 The what we heard loop with clients 17:39 Answering the question where it was asked 19:05 The FAQ list and the competitor comparison page 20:57 Why she skipped her Claude project 22:01 Three ways a first run goes wrong 24:12 Six months of hand-coding down to a couple of hours 26:08 Where to find Brooke About our guest Brooke Sellas is CEO of B Squared Media, a social experience management firm that runs social care for brands including Brother International, Miele, and BCU. She wrote Conversations That Connect, teaches social care through UCI and LinkedIn Learning, and was doing conversational analysis by hand long before software existed for it. Website: bsquared.media LinkedIn: linkedin.com/in/brookebsellas YouTube: youtube.com/c/hellobsquared Full episode, prompts, and transcript https://www.agorapulse.com/blog/podcasts/ai-social-playbook/e1
Stop guessing your AI workflows. Watch real builders share their screens and grab the free prompt kits here: https://agorapulse.com/blog/ai-social-playbook/ Let’s be honest - social media moves way too fast to keep up doing things the old way. Between constant platform algorithm changes and the pressure to publish daily, just working more hours isn't a strategy. And typing "give me 10 post ideas" into ChatGPT? That just gives you the same generic stuff your competitors are already posting. Welcome to The AI Social Playbook - a hands-on tactical lab built for modern social media practitioners and marketing leaders who are ready to build something bigger. We completely skip the 20-minute resumes and high-level corporate fluff. Each week, we sit down with elite practitioners and brand builders who are actually winning with AI on social. We don't just talk about their strategy - we make them share their screens. You’ll see their exact prompt chains, multi-agent setups, and workflows in real time so you can replicate what works and avoid what breaks. Inside the Lab: Live screen shares of real AI workspaces and prompt setups Practical shortcuts that give lean marketing teams unfair leverage How top operators use human judgment to eliminate generic AI slop Free companion blueprints and prompt toolkits with every single episode Timestamps: 00:00 - The Reality Check: Why generic AI prompts fail modern marketers 00:45 - Inside the Lab: Live screen shares and real workflows 01:25 - Free Episode Blueprints and Prompt Kits 01:55 - How to Watch & Subscribe New masterclasses drop every Monday right here on YouTube. Hit Subscribe, dive into our first episode, and let’s build together! Hosted by Mike Allton, Chief Storyteller at Agorapulse. The AI Social Playbook is powered by Agorapulse and built with Archie.app. Connect with Mike Allton on LinkedIn: https://linkedin.com/in/mikeallton Explore Agorapulse: https://www.agorapulse.com Discover Archie: https://archie.app #AISocialMedia #TheAISocialPlaybook #SocialMediaMarketing #AIWorkflows #Agorapulse #MarketingAutomation
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Observed September 14, 2026. Cached outside the daily freshness window; the positions keep the date they were taken on.
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